# Visual analysis of multi-omics data

## TL;DR

This paper introduces a web-based tool for visualizing multiple types of omics data on metabolic network diagrams, enabling users to explore biological data interactively.

## Contribution

The novelty lies in the simultaneous visualization of up to four omics data types on metabolic networks using distinct visual channels.

## Key findings

- The tool uses automated layout algorithms to generate interactive metabolic charts.
- Users can map omics data to visual features like color and thickness for enhanced interpretation.
- Semantic zooming and animation support detailed exploration of time-series data.

## Abstract

We present a tool for multi-omics data analysis that enables simultaneous visualization of up to four types of omics data on organism-scale metabolic network diagrams. The tool’s interactive web-based metabolic charts depict the metabolic reactions, pathways, and metabolites of a single organism as described in a metabolic pathway database for that organism; the charts are constructed using automated graphical layout algorithms. The multi-omics visualization facility paints each individual omics dataset onto a different “visual channel” of the metabolic-network diagram. For example, a transcriptomics dataset might be displayed by coloring the reaction arrows within the metabolic chart, while a companion proteomics dataset is displayed as reaction arrow thicknesses, and a complementary metabolomics dataset is displayed as metabolite node colors. Once the network diagrams are painted with omics data, semantic zooming provides more details within the diagram as the user zooms in. Datasets containing multiple time points can be displayed in an animated fashion. The tool will also graph data values for individual reactions or metabolites designated by the user. The user can interactively adjust the mapping from data value ranges to the displayed colors and thicknesses to provide more informative diagrams.